Chinese medicine(CM) is usually prescribed as CM formula to treat disease. The lack of effective research approach makes it difficult to elucidate the molecular mechanisms of CM formula owing to its complicated chemic...Chinese medicine(CM) is usually prescribed as CM formula to treat disease. The lack of effective research approach makes it difficult to elucidate the molecular mechanisms of CM formula owing to its complicated chemical compounds. Network pharmacology is increasingly applied in CM formula research in recent years, which is identified suitable for the study of CM formula. In this review, we summarized the methodology of network pharmacology, including network construction, network analysis and network verification. The aim of constructing a network is to achieve the interaction between the bioactive compounds and targets and the interaction between various targets, and then find out and validate the key nodes via network analysis and network verification. Besides, we reviewed the application in CM formula research, mainly including targets discovery, bioactive compounds screening, toxicity evaluation, mechanism research and quality control research. Finally, we proposed prospective in the future and limitations of network pharmacology, expecting to provide new strategy and thinking on study for CM formula.展开更多
证候和方剂是中医学的2个关键科学问题,直接关系到中医疾病的诊断和临床治疗的有效性。方剂是中医临床用药的主要形式和手段,其配伍的科学性和临床的有效性是中医药科学价值的具体体现。然而,中医证候的模糊性及方剂的复杂性极大地限制...证候和方剂是中医学的2个关键科学问题,直接关系到中医疾病的诊断和临床治疗的有效性。方剂是中医临床用药的主要形式和手段,其配伍的科学性和临床的有效性是中医药科学价值的具体体现。然而,中医证候的模糊性及方剂的复杂性极大地限制了方剂的效应评价及中药药效物质基础的确认。如何解决证候的诊断标准,以及相关的方剂药效物质基础的确认是国际关注的热点问题,迫切需要建立符合其自身特点的研究方法和技术体系。中医方证代谢组学(chinmedomics)是将中药血清药物化学和代谢组学有机结合,在解决证候生物标记物的基础上,建立方剂药效生物评价体系,进而发现与临床疗效直接相关的药效物质基础,阐明作用机制的方法学体系。中医方证代谢组学将"中医证候生物标记物-方剂体内直接作用物质-药效生物标记物"研究有机结合,建立血清中外源性中药成分与内源性标记物群2组变量相关(plotting of correlation between marker metabolites and serum constituents,PCMS)分析方法,评价方剂整体效应及方证相应关系,揭示方剂的药效物质基础及其配伍规律的应用研究策略;该策略的实施将促进方剂向化学成分明确化、作用机制清晰化的方向发展,为方剂关键科学问题研究带来方法学创新,有助推动中医方-证相关研究,揭示生命本质并为人类健康做出有益贡献。展开更多
In the present study, the physical meaning of vorticity is revisited based on the Liutex-Shear (RS) decomposition proposed by Liu et al. in the framework of Liutex (previously called Rortex), a vortex vector field wit...In the present study, the physical meaning of vorticity is revisited based on the Liutex-Shear (RS) decomposition proposed by Liu et al. in the framework of Liutex (previously called Rortex), a vortex vector field with information of both rotation axis and swirling strength (Liu et al. 2018). It is demonstrated that the vorticity in the direction of rotational axis is twice the spatial mean angular velocity in the small neighborhood around the considered point while the imaginary part of the complex eigenvalue (2c.) of the velocity gradient tensor (if exist) is the pseudo-time average angular velocity of a trajectory moving circularly or spirally around the axis. In addition, an explicit expression of the Liutex vector in terms of the eigenvalues and eigenvectors of velocity gradient is obtained for the first time from above understanding, which can further, though mildly, accelerate the calculation and give more physical comprehension of the Liutex vector.展开更多
基金Supported by the National Natural Science Foundation of China(No.81530102)Guangdong Provincial Science and Technology Agency Special Funds(No.2017B050504005)Guangzhou City Science and Technology Agency Special Funds(No.201803010069)
文摘Chinese medicine(CM) is usually prescribed as CM formula to treat disease. The lack of effective research approach makes it difficult to elucidate the molecular mechanisms of CM formula owing to its complicated chemical compounds. Network pharmacology is increasingly applied in CM formula research in recent years, which is identified suitable for the study of CM formula. In this review, we summarized the methodology of network pharmacology, including network construction, network analysis and network verification. The aim of constructing a network is to achieve the interaction between the bioactive compounds and targets and the interaction between various targets, and then find out and validate the key nodes via network analysis and network verification. Besides, we reviewed the application in CM formula research, mainly including targets discovery, bioactive compounds screening, toxicity evaluation, mechanism research and quality control research. Finally, we proposed prospective in the future and limitations of network pharmacology, expecting to provide new strategy and thinking on study for CM formula.
文摘证候和方剂是中医学的2个关键科学问题,直接关系到中医疾病的诊断和临床治疗的有效性。方剂是中医临床用药的主要形式和手段,其配伍的科学性和临床的有效性是中医药科学价值的具体体现。然而,中医证候的模糊性及方剂的复杂性极大地限制了方剂的效应评价及中药药效物质基础的确认。如何解决证候的诊断标准,以及相关的方剂药效物质基础的确认是国际关注的热点问题,迫切需要建立符合其自身特点的研究方法和技术体系。中医方证代谢组学(chinmedomics)是将中药血清药物化学和代谢组学有机结合,在解决证候生物标记物的基础上,建立方剂药效生物评价体系,进而发现与临床疗效直接相关的药效物质基础,阐明作用机制的方法学体系。中医方证代谢组学将"中医证候生物标记物-方剂体内直接作用物质-药效生物标记物"研究有机结合,建立血清中外源性中药成分与内源性标记物群2组变量相关(plotting of correlation between marker metabolites and serum constituents,PCMS)分析方法,评价方剂整体效应及方证相应关系,揭示方剂的药效物质基础及其配伍规律的应用研究策略;该策略的实施将促进方剂向化学成分明确化、作用机制清晰化的方向发展,为方剂关键科学问题研究带来方法学创新,有助推动中医方-证相关研究,揭示生命本质并为人类健康做出有益贡献。
基金supported by the National Nature Science Foundation of China (Grant Nos. 11702159, 91530325).
文摘In the present study, the physical meaning of vorticity is revisited based on the Liutex-Shear (RS) decomposition proposed by Liu et al. in the framework of Liutex (previously called Rortex), a vortex vector field with information of both rotation axis and swirling strength (Liu et al. 2018). It is demonstrated that the vorticity in the direction of rotational axis is twice the spatial mean angular velocity in the small neighborhood around the considered point while the imaginary part of the complex eigenvalue (2c.) of the velocity gradient tensor (if exist) is the pseudo-time average angular velocity of a trajectory moving circularly or spirally around the axis. In addition, an explicit expression of the Liutex vector in terms of the eigenvalues and eigenvectors of velocity gradient is obtained for the first time from above understanding, which can further, though mildly, accelerate the calculation and give more physical comprehension of the Liutex vector.
